package com.mmall.common;

import com.google.common.cache.CacheBuilder;
import com.google.common.cache.CacheLoader;
import com.google.common.cache.LoadingCache;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;

/**
 * @Author 侯俊杰
 * @Date 2017/10/15
 * @Time 20:30
 **/
public class TokenCache
{
    private static Logger logger = LoggerFactory.getLogger(TokenCache.class);
    public static final String TOKEN_PREFIX = "token_";

    //第一次为缓存申请1000，最大扩展至10000，若超过10000则调用LRU算法进行清理，有效期12小时
    private static LoadingCache<String,String> localCache = CacheBuilder.newBuilder().initialCapacity(1000).maximumSize(10000).expireAfterAccess(12, TimeUnit.HOURS)
            .build(new CacheLoader<String, String>()
            {
                //默认的数据加载实现，当调用get取值的时候，如果key没有对应的值，就调用这个方法加载
                @Override
                public String load(String s) throws Exception
                {
                    return "null";
                }
            });

    public static void setKey(String key , String value)
    {
        localCache.put(key,value);
    }

    public static String getKey(String key)
    {
        String value = null;
        try
        {
            value = localCache.get(key);
            if("null".equals(value))
            {
                return null;
            }
            return value;
        } catch (ExecutionException e)
        {
            logger.error("localCache get error",e);
        }
        return null;
    }

}
